Browse > Article

Generation of Progressively Sampled DTM using Model Key Points Extracted from Contours in Digital Vector Maps  

Lee, Sun-Geun (세종대학교 공과대학 지구정보공학과)
Yom, Jae-Hong (세종대학교 공과대학 지구정보공학과)
Lim, Sae-Bom (세종대학교 공과대학 지구정보공학과)
Kim, Kye-Lim (세종대학교 공과대학 지구정보공학과)
Lee, Dong-Cheon (세종대학교 공과대학 지구정보공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.25, no.6_2, 2007 , pp. 645-651 More about this Journal
Abstract
In general, contours in digital vector maps, which represent terrain characteristics and shape, are created by 3D digitizing the same height points using aerial photographs on the analytical or digital plotters with stereoscopic viewing. Hence, it requires lots of task, and subjective decision and experience of the operators. DTMs are generated indirectly by using contours since the national digital maps do not include digital terrain model (DTM) data. In this study, model key points which depict the important information about terrain characteristics were extracted from the contours. Further, determination of the efficient and flexible grid sizes were proposed to generate optimal DTM in terms of both quantitative and qualitative aspects. For this purpose, a progressive sampling technique was implemented, i.e., the smaller grid sizes are assigned for the mountainous areas where have large relief while the larger grid sizes are assigned for the relatively flat areas. In consequence, DTMs with multi-grid for difference areas could be generated instead of DTMs with a fixed grid size. The multi-grid DTMs reduce computations for data processing and provide fast display.
Keywords
Digital vector map; Contour; DTM; Model key point; Progressive sampling;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 김계현(2000),GIS 개론-2판, 대영사. pp. 201-202
2 유근홍 (2007), 효율적인 3차원 수치지도 생성을 위한 지형공간 데이터 모델링, 세종대학교 석사학위 논문
3 임영빈, 이철희, 박창숙 (2005), GIS를 이용한 3차원 지형도 생성 및 정확도 분석, 한국측량학회지, 제23권, 제2호, pp. 189-196   과학기술학회마을
4 Clarke, K. (1990), Analytical and Computer Cartography, Prentice Hall, Englewood Cliffs, NJ., pp. 215-218
5 To, D., Lau, R., and Green, M. (2001), An Adaptive Multiresolution Method for Progressive Model Transmission, Presence, Vol 10, No. 1, February, pp. 62-74   DOI   ScienceOn
6 Wechsler, S. and Kroll, C. (2006), Quantifying DEM Uncertainty and its Effects on Topographic Parameters, Vol. 72, No.9, PE & RS, pp. 1081-1090   DOI
7 Burrough, P. (1988), Principles of Geographical Information Systems for Land Resources Assessment, Oxford University press, New York, pp. 39-56
8 Laurini, R. and Thompson, A. (1998), Fundamentals of Spatial Information System, Academic Press, New York, pp. 113-174
9 유복모, Toni Schenk (2001), 현대 디지털 사진 측량학, 문운당, pp. 357-401
10 이동천, 염재홍 (2005), LiDAR 데이터를 이용한 수치지도의 건물 및 동고선 레이어 생성, 한국측량학회지, 제23권, 제3호, pp. 313-322   과학기술학회마을
11 Lau, R. W. H., Green, M., To, D., & Wong, J. (1998). Realtime continuous multi-resolution method for models of arbitrary topology. Presence: Teleoperators and Virtual Environments, Vol 7, No. 1, pp. 22-35   DOI   ScienceOn
12 국토지리정보원(2006), 다차원 공간정보구축에 관한 연구(II), 국토지리정보원, pp, II-3-100
13 Haralick, R. and Shapiro, L. (1992), Computer and Robot Vision - Volume I, Addison-Wesley Pub., Reading, MA., pp. 371-452
14 Gamba, P. (2000), Digital Surface Models and Building Extraction:A Comparison of IFSAR and LIDAR Data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No.4, pp. 1959-1968   DOI   ScienceOn